pierrepaleo / pdwt Goto Github PK

Hello there.
I'm using Wavelets::forward() to perfrom DWT and Wavelets::get_coeff() to get my result.

Here are 2 images I tested:

The wavelet used here is "db8", and here are the results:

I compared them with the output from another DWT library (Rice Wavelets Toolbox), who gives these:

I found that the spatial position of the coefficients seems to be shifted by a small amount.

I'm no an expert at signal processing so I don't know whether this is a bug or a non-critical issue.

I'm trying to make a 1D forward transformation, but whatever I try it always return a set of zeros as the coefficients.

Here is the code: xaionaro-go@3bade79#diff-c45b8ec98032bf3c66a8cf8226fecd05fbe771cfe0bdbc60f9e1c76c76983e8cR110-R120

Here is data:

[1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2,1, 2, 1, 2, 1, 2, 1, 2]

levels is 2

wavelet is haar.

Could you advise what do I do wrong?

Hi there,

Is it possible to set cuda stream explicit when use this library? Which interface function should I invoke?

Hi there,

I am interested on working with this API since it is very useful for my thesis work. Do you know if the functions are compatible with CUDA 10?

Best regards

I tried to reproduce the 2D discrete wavelet transform in Matlab and PDWT, and then plotted a histogram of the cA parameter. The results are shown in the figure below, with red representing the result from Matlab and blue representing the result from PDWT. I would like to know what could be the possible reasons for this situation?

This is my C++ code.
Wavelets w(img_f,rows,cols,"haar",1,1,1,0,0,2); w.forward(); w.get_coeff(LL, 0); //....change LL(float *) to LL(cv::Mat) cv::Mat hist_cA; const int bin = 256; float range[] = {0,255}; const float* histRange[] = {range}; cv::normalize(LL,LL,0,255,cv::NORM_MINMAX,-1); cv::calcHist(&LL,1,0,cv::Mat(),hist_cA,1,&bin,histRange,true);

This is the Matlab code.
[LL,LH,HL,HH] = dwt2(I1,'haar'); hist_cA = imhist(mat2gray(LL));